I am currently focused on sequential decision making problems related to content recommendation, with a special emphasis on music recommendation, musical preference learning, and preference elicitation in cultural settings in general. I am also interested in modeling the effects of musical stimuli on human decision making, and agents learning to interact with other agents (human or artificial) in social settings (for instance, playing music).

Generally speaking, my interests are in the fields of machine learning, artificial intelligence, data mining and multiagent systems. I am equally attracted to both the theoretical and the applicative sides of these research areas. Over the last few years, I have been working on applying various algorithmic tools in music, something which I personally find exciting, as it combines two of my greatest passions. I have also dabbled in more traditional research in bioinformatics and algorithmic game theory.